An Intelligent Supervisory System for the Thermal Process during Severe Disturbance
The boiler system is a MIMO system with the characteristics of nonlinear dynamics, with there being severe loading variation, the boiler variables such as steam pressure and water level under go some major fluctuations. Such fluctuations are difficult to minimize using classical control techniques. In response to these circumstances, this paper contributes a methodology to design a two-level structure control method to improve the performance of the boiler response during such disturbance, in which the direct level consists of a predictive PID controller based on DCS(Distributed control systems); and the set-points of the drum steam pressure and the water level deviation are modified whenever necessary by a supervisor partially based on fuzzy theory according to the current operation condition. Finally, the good performance of the two-level control method is demonstrated through numerical experiments.
Boiler system Supervisor controller Predictive PID control Fuzzy logic
Yun Zhang Lei Jia Hongbo Liu
College of Control Science and Engineering,Shandong University, Jinan ,250061,China;College of Cont College of Control Science and Engineering, Shandong University, Jinan ,250061,China;
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）